Mathematics in Computational Science and Engineering
The group of Mathematics in Computational Science and Engineering includes the Chair of Computational Mathematics and Numerical Analysis (ANMC), the Chair of Numerical Algorithms and High Performance Computing (ANCHP), the Chair of Scientific Computing and Uncertainty Quantification (CSQI), the Chair of Computational Mathematics and Simulation Science (MCSS), the Chair of Numerical Modelling and Simulation (MNS) and the groups of Professors Marco Picasso (GR-PI) and Simone Deparis (SCI-SB-SD).
Promote at the highest scientific level the research and education on mathematical modeling, numerical modeling, algorithmic development and simulation, as well as their application in nature, environment, life, society, science and engineering. Establish and lead research programs in Computational Science and Engineering within the Institute of Mathematics and interact with existing projects in the CSE area across the EPFL Campus.
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The John Butcher Prize in Numerical Analysis was established to recognize John Butcher’s long and productive career in numerical analysis, and in particular in the numerical solution of ordinary differential equations. In keeping with John’s consistent encouragement of students, the award is for the best student talk at SciCADE. In particular, considering both the academic merit of the content and the presentation itself.
Prof. Annalisa Buffa awarded the ERG Advanced Grant CHANGE, “New CHallenges for (adaptive) PDE solvers: the interplay of ANalysis and Geometry”. Host Institution: Ecole Polytechnique Federale de Lausanne (EPFL). Addition Beneficiaries: Consiglio Nazionale Della Ricerche Istituto di Matematica Applicata e Technologie Informatiche “E. Magenes” (CNR-IMATI); Universitat Linz Johannes Kepler University (JKU-LINZ); Oesterreichische Akademie des Wissenschaften Johann Radon Institute for Computational and Applied Mathematics (RICAM)
Dr. Diane Guignard, member of the Chair of Scientific Computing and Uncertainty Quantification and the Group Picasso, Institute of Mathematics, EPFL, has been awarded the ECCOMAS Award for for one of the two best PhD Theses in 2016, for her PhD Thesis entitled “A posteriori error estimation for partial differential equations with random input data” (EPFL thesis #7260, 2016). The European Community on Computational Methods in Applied Sciences (ECCOMAS) attributes the award to highlight outstanding achievements of two young persons at the start of their scientific careers; the awards will be handed over at the ECCOMAS Young Investigator Conference – YIC 2017, Milan, Italy, September 13 – 15. PPP Many congratulations to Diane!